CN112306673B - SDN system for cooperation of cloud computing and edge computing - Google Patents
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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Abstract
The application discloses an SDN system for cooperation of cloud computing and edge computing, which comprises a base layer and an application layer: the base layer is used for respectively carrying out nanotube management on the central cloud equipment and the edge cloud equipment, and discovering link information of the central cloud equipment and the edge cloud equipment through a link layer discovery protocol to form a network topology of the central cloud equipment and the edge cloud equipment, wherein the central cloud equipment is used for cloud computing, and the edge cloud equipment is used for edge computing; the application layer comprises resource cooperation, safety cooperation and service cooperation and is used for completing the connection establishment between the center cloud equipment and the edge cloud equipment. The SDN system provided by the embodiment of the specification can uniformly manage the center cloud and the edge cloud, realizes the efficient operation of the cooperation of the center cloud and the edge cloud, and provides better experience for users.
Description
Technical Field
The application relates to the technical field of computers, in particular to an SDN system for cloud computing and edge computing cooperation.
Background
In recent years, with the development of 5G technology, all things are possibly interconnected, meanwhile, data is also subject to explosive growth, a traditional data center cannot meet the processing requirements of massive data, edge computing is generated and rapidly developed, edge computing refers to an open platform integrating network, computing, storage and application core capabilities at one side close to an object or a data source, end service is provided nearby, an application program is initiated at the edge side, faster network service response is generated, and the basic requirements of the industry in the aspects of real-time business, application intelligence, safety, privacy protection and the like are met. However, at the edge, resources are limited, and operations requiring a relatively high amount of computation are required to be placed on the data center side. Therefore, how to implement fast scheduling of resources in the central cloud device and the edge cloud device becomes very important.
Disclosure of Invention
In view of this, an SDN system for cloud computing and edge computing cooperation is provided in an embodiment of the present application, and is used to solve a scheduling problem of resources of a central cloud device and an edge cloud device.
The embodiment of the application adopts the following technical scheme:
the embodiment of the application provides an SDN system for cooperation of cloud computing and edge computing, and the system comprises a base layer and an application layer:
the base layer is used for respectively carrying out nano-management on the central cloud equipment and the edge cloud equipment, finding link information of the central cloud equipment and the edge cloud equipment through a link layer discovery protocol, and forming a network topology of the central cloud equipment and the edge cloud equipment, wherein the central cloud equipment is used for cloud computing, and the edge cloud equipment is used for edge computing;
the application layer comprises resource cooperation, safety cooperation and service cooperation and is used for completing the connection establishment between the center cloud equipment and the edge cloud equipment.
It should be noted that the SDN system in the embodiment of the present specification can uniformly manage the center cloud and the edge cloud, so that the center cloud and the edge cloud cooperatively and efficiently operate, and better experience is provided for a user.
Further, the base layer is used for respectively carrying out nanotube management on the central cloud equipment and the edge cloud equipment, and specifically includes:
the basic layer respectively performs policy configuration and equipment management on the central cloud equipment and the edge cloud equipment through a first protocol preset by a southward interface;
and the basic layer respectively carries out network topology, monitoring alarm and state statistics on the central cloud equipment and the edge cloud equipment through a second protocol preset by the southward interface.
Further, the first protocol comprises an openflow protocol, a nxapi protocol and a ssh protocol, and the second protocol comprises a snmp protocol and a telemetric protocol.
Furthermore, the policy configuration includes BGP, OSPF, VLAN, VPC, ACL, QOS, route management, virtual network, firewall, load balancing, VPN addition configuration, and flow table distribution to the virtual switch through openflow, so as to control the trend of network traffic.
Further, the edge cloud device includes a virtual switch, an edge gateway, and an edge device; the central cloud equipment comprises network equipment, a host, a virtual switch and safety equipment.
Further, the resource cooperation is cooperation of network resources, after the connection between the center cloud device and the edge cloud device is established, the SDN system automatically issues related configurations to the managed center cloud device and the managed edge cloud device to establish a plurality of network links of the center cloud device and the edge cloud device, and drops traffic in an optimal network link through a shortest path algorithm, and when the optimal link is congested, the SDN system senses the traffic and automatically directs the traffic to a relatively idle link.
Further, in the security coordination, an SDN system is configured to manage security components in a central cloud device and an edge cloud device, detect malicious traffic of the edge cloud device and the central cloud device in real time, and block the malicious traffic through a corresponding security component if the edge cloud device or the central cloud device has the malicious traffic, so as to prevent the malicious traffic from spreading to a greater extent, where the security component includes a firewall and a security group.
Further, in the service collaboration, the SDN system provides a uniform service orchestration capability of a network service, and provides the network service for the center cloud device and the edge cloud device.
Further, the SDN system further includes a management layer, and the management layer is used for user management, role management, and IP access setting.
Further, the SDN system is based on opendayright from an open source.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects: the SDN system in the embodiment of the present description can perform unified management on the center cloud and the edge cloud, implement efficient operation of the center cloud and the edge cloud in cooperation, and provide better experience for a user.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic diagram of an SDN system for cloud computing and edge computing collaboration provided in an embodiment of the present specification;
fig. 2 is a schematic diagram of a management system for cloud computing and edge computing according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of an SDN system for cloud computing and edge computing cooperation, where the SDN system includes a base layer 1 and an application layer 2.
It should be noted that cloud computing is used as a central cloud, advantageous resources are concentrated, tasks with large computing amount are placed in the central cloud, edge computing is used as an edge cloud and is close to a user side, resources are relatively few, computing with high delay requirements is placed in the edge cloud, and an SDN system is used as an intermediate scheduling system to guarantee cooperation of cloud sides, so that respective advantages of the cloud sides are fully played, and efficient and convenient edge application is provided for the user.
SDN (software defined network) has been successfully applied to a data center network, so as to implement software and hardware decoupling of network devices and separation of a control plane and a data plane of a network system, and as cloud computing and network scale rapidly increase, the scale of a data center gradually increases. People have higher and higher requirements on network intelligent management, real-time monitoring and cross-period statistics on network equipment states, link states, flow states, alarm information and the like are required, the network is also required to be flexibly controlled, the network is more intelligent as a pipeline transformer, and at this time, a soft SDN is developed, and the SDN provides flexible and reliable real-time information of available resources through control and forwarding separation. A centralized controller enables each unit within the overall system to make the best decision, and dedicated control channels enable high-level policies to be translated into low-level configuration instructions to support fine-grained control of the system. Therefore, the advantages of the SDN can be applied to the cooperation of edge computing, the central cloud and the edge cloud are managed uniformly, network scheduling, resource scheduling and the like are handed to the SDN system, the efficient operation of cloud-edge cooperation is realized, and better experience is provided for users.
Further, fig. 2 is a schematic diagram of a management system for cloud computing and edge computing according to an embodiment of the present disclosure, where the management system may be composed of an SDN system, a central cloud device, and several edge cloud devices. The basic layer of the SDN system comprises equipment management, network topology, monitoring alarm, state statistics and strategy configuration, and the application layer of the SDN system comprises resource cooperation, safety cooperation and service cooperation. The SDN system performs equipment configuration and data collection on the central cloud equipment and the edge cloud equipment through a southbound interface API. The central cloud device comprises a network device, a host, a virtual switch (openvswitch) and a security device, and the edge cloud device comprises a virtual switch, an edge gateway and an edge device.
The base Layer may be configured to respectively manage the center cloud device and the edge cloud device, and discover Link information of the center cloud device and the edge cloud device through a Link Layer Discovery Protocol (LLDP) to form a network topology of the center cloud device and the edge cloud device, where the center cloud device is used for cloud computing and the edge cloud device is used for edge computing.
The application layer may be used to complete the connection between the central cloud device and the edge cloud device.
Further, the base layer is used for respectively carrying out nanotube to the center cloud equipment and the edge cloud equipment, and specifically includes:
the basic layer respectively carries out strategy configuration and equipment management on the central cloud equipment and the edge cloud equipment through a first protocol preset by a southward interface;
and the base layer respectively carries out network topology, monitoring alarm and state statistics on the central cloud equipment and the edge cloud equipment through a second protocol preset by the southward interface.
The first protocol may include openflow protocol, nxapi protocol, and ssh protocol, and the second protocol may include snmp protocol and telemetric protocol.
The policy configuration may include BGP, OSPF, VLAN, VPC, ACL, QOS, route management, virtual network, firewall, load balancing, VPN addition configuration, and flow table distribution to the virtual switch through openflow to control the trend of network traffic.
Further, resource cooperation is cooperation of network resources, after the central cloud equipment and the edge cloud equipment are connected, the SDN system automatically issues related configurations to the managed central cloud equipment and the managed edge cloud equipment to establish network links of the plurality of central cloud equipment and the edge cloud equipment, flow falls into an optimal network link through a shortest path algorithm, and when the optimal link is congested, the SDN system senses the flow and automatically leads the flow to a relatively idle link.
Further, in security coordination, the SDN system is configured to manage security components in a central cloud device and an edge cloud device, detect malicious traffic of the edge cloud device and the central cloud device in real time, and block the malicious traffic through a corresponding security component if the edge cloud device or the central cloud device has the malicious traffic, so as to prevent the malicious traffic from spreading to a greater extent, where the security component includes a firewall and a security group.
Further, in service collaboration, the SDN system provides uniform service orchestration capability of network services, and provides network services for the central cloud device and the edge cloud devices.
Further, the SDN system further includes a management layer, and the management layer is used for user management, role management, and IP access setting.
Further, the SDN system is based on opendayright from open source. Openpayload is a highly available, modular, extensible, multi-protocol-capable controller platform that can be used as an SDN management plane to manage multi-vendor heterogeneous SDN networks. It provides a model-driven service abstraction layer (MD-SAL) that allows users to deploy network applications on underlying forwarding devices of different vendors using different southbound protocols.
Further, the SDN system also provides a northbound interface API, and applications may be developed based on the northbound interface API.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain a corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually manufacturing an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as ABEL (Advanced Boolean Expression Language), AHDL (alternate Hardware Description Language), traffic, CUPL (core universal Programming Language), HDCal, jhddl (Java Hardware Description Language), lava, lola, HDL, PALASM, rhyd (Hardware Description Language), and vhigh-Language (Hardware Description Language), which is currently used in most popular applications. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, apparatuses, modules or units described in the above embodiments may be specifically implemented by a computer chip or an entity, or implemented by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information and/or data which can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises that element.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the system embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for relevant points.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (4)
1. An SDN system for cloud computing and edge computing collaboration, the system comprising a base layer and an application layer:
the base layer is used for respectively carrying out nanotube management on the central cloud equipment and the edge cloud equipment, and discovering link information of the central cloud equipment and the edge cloud equipment through a link layer discovery protocol to form a network topology of the central cloud equipment and the edge cloud equipment, wherein the central cloud equipment is used for cloud computing, and the edge cloud equipment is used for edge computing;
the base layer is used for respectively carrying out nanotube management on the central cloud equipment and the edge cloud equipment, and specifically comprises:
the basic layer respectively carries out strategy configuration and equipment management on the central cloud equipment and the edge cloud equipment through a first protocol preset by a southward interface;
the basic layer respectively carries out network topology, monitoring alarm and state statistics on the central cloud equipment and the edge cloud equipment through a second protocol preset by a southbound interface, the first protocol comprises an openflow protocol, an nxapi protocol and an ssh protocol, the second protocol comprises a snmp protocol and a telemetry protocol, the strategy configuration comprises BGP, OSPF, VLAN, VPC, ACL, QOS, route management, a virtual network, a firewall, load balancing and VPN adding configuration, and flow table issuing is carried out on a virtual switch through openflow so as to control the trend of network flow;
the edge cloud equipment comprises a virtual switch, an edge gateway and edge equipment; the central cloud equipment comprises network equipment, a host, a virtual switch and safety equipment;
the application layer comprises resource cooperation, safety cooperation and service cooperation and is used for completing the connection establishment between the center cloud equipment and the edge cloud equipment;
in the security coordination, an SDN system is configured to manage security components in a central cloud device and an edge cloud device, the SDN system detects malicious traffic of the edge cloud device and the central cloud device in real time, and if the malicious traffic exists in the edge cloud device or the central cloud device, the SDN system blocks the malicious traffic through a corresponding security component to prevent the malicious traffic from spreading to a greater extent, where the security component includes a firewall and a security group;
the resource cooperation is cooperation of network resources, after the central cloud equipment and the edge cloud equipment are connected, the SDN system can automatically issue related configuration to the managed central cloud equipment and the managed edge cloud equipment to establish a plurality of network links of the central cloud equipment and the edge cloud equipment, flow is dropped into an optimal network link through a shortest path algorithm, and when the optimal link is congested, the SDN system senses the flow and automatically leads the flow to a relatively idle link.
2. The SDN system for cloud computing and edge computing collaboration as recited in claim 1, wherein in the business collaboration, the SDN system provides unified business orchestration capabilities of network services and provides network services for the central cloud device and the edge cloud devices.
3. The SDN system for cloud computing and edge computing collaboration as defined in claim 1, further comprising a management layer for user management, role management, and IP access settings.
4. The SDN system for cloud computing and edge computing collaboration as defined in claim 1, wherein the SDN system is based on opendayright from open source.
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| CN112953770B (en) * | 2021-02-18 | 2023-07-14 | 上海宽带技术及应用工程研究中心 | Method, system, medium and cloud management system for edge cloud gateway configuration-free access |
| CN113381879B (en) * | 2021-05-17 | 2023-02-28 | 浪潮思科网络科技有限公司 | SDN-based network deployment method and device |
| CN113992513B (en) * | 2021-10-26 | 2023-10-27 | 新华三信息安全技术有限公司 | Equipment information hosting method and device |
| CN114677624B (en) * | 2022-03-18 | 2023-09-15 | 南京农业大学 | Sow delivery intelligent monitoring system based on Yun Bian cooperation |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9438478B1 (en) * | 2015-11-13 | 2016-09-06 | International Business Machines Corporation | Using an SDN controller to automatically test cloud performance |
| CN106936857A (en) * | 2015-12-29 | 2017-07-07 | 中国电信股份有限公司 | A kind of connection management method of mixed cloud, SDN controllers and mixing cloud system |
| CN107786495A (en) * | 2016-08-24 | 2018-03-09 | 北京计算机技术及应用研究所 | Cloud environment network security protection system |
| CN109995546A (en) * | 2017-12-29 | 2019-07-09 | 中国科学院沈阳自动化研究所 | The intelligent plant automatic system architecture that edge calculations are cooperateed with cloud computing |
| WO2020181486A1 (en) * | 2019-03-12 | 2020-09-17 | 华为技术有限公司 | Information processing method, apparatus, and system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170118127A1 (en) * | 2015-10-22 | 2017-04-27 | Cox Communications, Inc. | Systems and Methods of Virtualized Services |
| CN108833166B (en) * | 2018-06-19 | 2021-07-27 | 中国联合网络通信集团有限公司 | Edge cloud message forwarding method and system and network message forwarding method and system |
-
2020
- 2020-09-18 CN CN202010987666.6A patent/CN112306673B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9438478B1 (en) * | 2015-11-13 | 2016-09-06 | International Business Machines Corporation | Using an SDN controller to automatically test cloud performance |
| CN106936857A (en) * | 2015-12-29 | 2017-07-07 | 中国电信股份有限公司 | A kind of connection management method of mixed cloud, SDN controllers and mixing cloud system |
| CN107786495A (en) * | 2016-08-24 | 2018-03-09 | 北京计算机技术及应用研究所 | Cloud environment network security protection system |
| CN109995546A (en) * | 2017-12-29 | 2019-07-09 | 中国科学院沈阳自动化研究所 | The intelligent plant automatic system architecture that edge calculations are cooperateed with cloud computing |
| WO2020181486A1 (en) * | 2019-03-12 | 2020-09-17 | 华为技术有限公司 | Information processing method, apparatus, and system |
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